Overview

Dataset statistics

Number of variables5
Number of observations423
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 KiB
Average record size in memory40.3 B

Variable types

Text2
Categorical2
DateTime1

Dataset

Description제주특별자치도 서귀포시 가축분뇨배출시설 현황 데이터입니다. 농장명, 소재지, 축종, 규모 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15114152/fileData.do

Alerts

기준일자 has constant value ""Constant
축종 is highly overall correlated with 규모High correlation
규모 is highly overall correlated with 축종High correlation

Reproduction

Analysis started2023-12-12 14:36:07.194275
Analysis finished2023-12-12 14:36:07.616553
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct413
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T23:36:07.807333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length5.7777778
Min length3

Characters and Unicode

Total characters2444
Distinct characters265
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)95.7%

Sample

1st row신례양돈
2nd row농업회사법인휴애리
3rd row신흥농장
4th row태웅농장
5th row세하축산
ValueCountFrequency (%)
우사 108
 
19.5%
계사 7
 
1.3%
청초밭영농조합법인 4
 
0.7%
농장 4
 
0.7%
우사(2 3
 
0.5%
이인택 2
 
0.4%
홍경수 2
 
0.4%
오삼용 2
 
0.4%
고보진 2
 
0.4%
김두봉 2
 
0.4%
Other values (410) 419
75.5%
2023-12-12T23:36:08.212101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 189
 
7.7%
우 179
 
7.3%
장 166
 
6.8%
농 150
 
6.1%
132
 
5.4%
김 52
 
2.1%
영 50
 
2.0%
조 41
 
1.7%
동 37
 
1.5%
인 36
 
1.5%
Other values (255) 1412
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2201
90.1%
Space Separator 132
 
5.4%
Close Punctuation 35
 
1.4%
Open Punctuation 35
 
1.4%
Decimal Number 32
 
1.3%
Uppercase Letter 8
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 189
 
8.6%
우 179
 
8.1%
장 166
 
7.5%
농 150
 
6.8%
김 52
 
2.4%
영 50
 
2.3%
조 41
 
1.9%
동 37
 
1.7%
인 36
 
1.6%
목 35
 
1.6%
Other values (236) 1266
57.5%
Decimal Number
ValueCountFrequency (%)
2 14
43.8%
1 9
28.1%
6 3
 
9.4%
4 2
 
6.2%
3 1
 
3.1%
8 1
 
3.1%
9 1
 
3.1%
5 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
A 1
12.5%
T 1
12.5%
V 1
12.5%
E 1
12.5%
C 1
12.5%
I 1
12.5%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2202
90.1%
Common 234
 
9.6%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 189
 
8.6%
우 179
 
8.1%
장 166
 
7.5%
농 150
 
6.8%
김 52
 
2.4%
영 50
 
2.3%
조 41
 
1.9%
동 37
 
1.7%
인 36
 
1.6%
목 35
 
1.6%
Other values (237) 1267
57.5%
Common
ValueCountFrequency (%)
132
56.4%
) 35
 
15.0%
( 35
 
15.0%
2 14
 
6.0%
1 9
 
3.8%
6 3
 
1.3%
4 2
 
0.9%
3 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
Latin
ValueCountFrequency (%)
G 2
25.0%
A 1
12.5%
T 1
12.5%
V 1
12.5%
E 1
12.5%
C 1
12.5%
I 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2201
90.1%
ASCII 242
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 189
 
8.6%
우 179
 
8.1%
장 166
 
7.5%
농 150
 
6.8%
김 52
 
2.4%
영 50
 
2.3%
조 41
 
1.9%
동 37
 
1.7%
인 36
 
1.6%
목 35
 
1.6%
Other values (236) 1266
57.5%
ASCII
ValueCountFrequency (%)
132
54.5%
) 35
 
14.5%
( 35
 
14.5%
2 14
 
5.8%
1 9
 
3.7%
6 3
 
1.2%
G 2
 
0.8%
4 2
 
0.8%
3 1
 
0.4%
A 1
 
0.4%
Other values (8) 8
 
3.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct413
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T23:36:08.447964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length26.425532
Min length19

Characters and Unicode

Total characters11178
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique403 ?
Unique (%)95.3%

Sample

1st row제주특별자치도 서귀포시 남원읍 신례리 1443-7
2nd row제주특별자치도 서귀포시 남원읍 신례리 2070-5
3rd row제주특별자치도 서귀포시 남원읍 신흥리 423
4th row제주특별자치도 서귀포시 남원읍 위미리 2008-1
5th row제주특별자치도 서귀포시 남원읍 위미리 2451-1
ValueCountFrequency (%)
제주특별자치도 423
19.8%
서귀포시 423
19.8%
남원읍 90
 
4.2%
대정읍 82
 
3.8%
표선면 72
 
3.4%
성산읍 70
 
3.3%
안덕면 67
 
3.1%
성읍리 32
 
1.5%
동일리 31
 
1.4%
위미리 26
 
1.2%
Other values (489) 822
38.4%
2023-12-12T23:36:08.905638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2049
 
18.3%
시 450
 
4.0%
서 438
 
3.9%
도 434
 
3.9%
귀 433
 
3.9%
포 428
 
3.8%
제 424
 
3.8%
치 423
 
3.8%
자 423
 
3.8%
별 423
 
3.8%
Other values (91) 5253
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7157
64.0%
Space Separator 2049
 
18.3%
Decimal Number 1755
 
15.7%
Dash Punctuation 183
 
1.6%
Other Punctuation 16
 
0.1%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 450
 
6.3%
서 438
 
6.1%
도 434
 
6.1%
귀 433
 
6.1%
포 428
 
6.0%
제 424
 
5.9%
치 423
 
5.9%
자 423
 
5.9%
별 423
 
5.9%
특 423
 
5.9%
Other values (75) 2858
39.9%
Decimal Number
ValueCountFrequency (%)
1 376
21.4%
2 277
15.8%
6 181
10.3%
4 155
8.8%
3 147
 
8.4%
5 146
 
8.3%
9 137
 
7.8%
7 123
 
7.0%
0 113
 
6.4%
8 100
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 11
68.8%
, 5
31.2%
Space Separator
ValueCountFrequency (%)
2049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7157
64.0%
Common 4021
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 450
 
6.3%
서 438
 
6.1%
도 434
 
6.1%
귀 433
 
6.1%
포 428
 
6.0%
제 424
 
5.9%
치 423
 
5.9%
자 423
 
5.9%
별 423
 
5.9%
특 423
 
5.9%
Other values (75) 2858
39.9%
Common
ValueCountFrequency (%)
2049
51.0%
1 376
 
9.4%
2 277
 
6.9%
- 183
 
4.6%
6 181
 
4.5%
4 155
 
3.9%
3 147
 
3.7%
5 146
 
3.6%
9 137
 
3.4%
7 123
 
3.1%
Other values (6) 247
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7157
64.0%
ASCII 4021
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2049
51.0%
1 376
 
9.4%
2 277
 
6.9%
- 183
 
4.6%
6 181
 
4.5%
4 155
 
3.9%
3 147
 
3.7%
5 146
 
3.6%
9 137
 
3.4%
7 123
 
3.1%
Other values (6) 247
 
6.1%
Hangul
ValueCountFrequency (%)
시 450
 
6.3%
서 438
 
6.1%
도 434
 
6.1%
귀 433
 
6.1%
포 428
 
6.0%
제 424
 
5.9%
치 423
 
5.9%
자 423
 
5.9%
별 423
 
5.9%
특 423
 
5.9%
Other values (75) 2858
39.9%

축종
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
소
238 
돼지
75 
말
66 
닭
25 
개
 
19

Length

Max length2
Median length1
Mean length1.177305
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row돼지
2nd row돼지
3rd row돼지
4th row돼지
5th row돼지

Common Values

ValueCountFrequency (%)
소 238
56.3%
돼지 75
 
17.7%
말 66
 
15.6%
닭 25
 
5.9%
개 19
 
4.5%

Length

2023-12-12T23:36:09.074056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:36:09.209156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소 238
56.3%
돼지 75
 
17.7%
말 66
 
15.6%
닭 25
 
5.9%
개 19
 
4.5%

규모
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
허가
214 
신고
209 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row허가
2nd row신고
3rd row허가
4th row허가
5th row허가

Common Values

ValueCountFrequency (%)
허가 214
50.6%
신고 209
49.4%

Length

2023-12-12T23:36:09.345653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:36:09.478881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 214
50.6%
신고 209
49.4%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2022-07-31 00:00:00
Maximum2022-07-31 00:00:00
2023-12-12T23:36:09.573502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:36:09.664427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T23:36:09.746890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종규모
축종1.0000.415
규모0.4151.000
2023-12-12T23:36:09.858249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종규모
축종1.0000.503
규모0.5031.000
2023-12-12T23:36:09.947361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종규모
축종1.0000.503
규모0.5031.000

Missing values

2023-12-12T23:36:07.487073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:36:07.578392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

농장명소재지축종규모기준일자
0신례양돈제주특별자치도 서귀포시 남원읍 신례리 1443-7돼지허가2022-07-31
1농업회사법인휴애리제주특별자치도 서귀포시 남원읍 신례리 2070-5돼지신고2022-07-31
2신흥농장제주특별자치도 서귀포시 남원읍 신흥리 423돼지허가2022-07-31
3태웅농장제주특별자치도 서귀포시 남원읍 위미리 2008-1돼지허가2022-07-31
4세하축산제주특별자치도 서귀포시 남원읍 위미리 2451-1돼지허가2022-07-31
5영농조합법인 거부양돈제주특별자치도 서귀포시 남원읍 위미리 2460-6돼지허가2022-07-31
6제주그린농장제주특별자치도 서귀포시 남원읍 의귀리 1682돼지신고2022-07-31
7창진영농조합법인제주특별자치도 서귀포시 남원읍 의귀리 498돼지허가2022-07-31
8봉영팜제주특별자치도 서귀포시 남원읍 의귀리 609 610. 611돼지허가2022-07-31
9길갈영농조합법인제주특별자치도 서귀포시 남원읍 한남리 188-6돼지허가2022-07-31
농장명소재지축종규모기준일자
413동성농장제주특별자치도 서귀포시 대정읍 일과리 420개신고2022-07-31
414유철동농장제주특별자치도 서귀포시 강정동 1825-2개신고2022-07-31
415오성종농장제주특별자치도 서귀포시 토평동 2653-1개신고2022-07-31
416박동규농장제주특별자치도 서귀포시 토평동 3120개신고2022-07-31
417현정농장제주특별자치도 서귀포시 성산읍 고성리 2523-4개신고2022-07-31
418기림농장제주특별자치도 서귀포시 성산읍 오조리 1698개신고2022-07-31
419덕수농장제주특별자치도 서귀포시 안덕면 덕수리 372개신고2022-07-31
420화순농장제주특별자치도 서귀포시 안덕면 덕수리 439개신고2022-07-31
421장성농장제주특별자치도 서귀포시 안덕면 동광리 145-2개신고2022-07-31
422신라농장제주특별자치도 서귀포시 표선면 하천리 202개신고2022-07-31